Project description
Metamaterials with neuroactive behaviour
Metamaterials are artificially engineered and endowed with properties beyond those encountered in naturally occurring materials. Despite their wide applicability in communication systems, sensing and robotics, metamaterials are based on fossils and exhibit a high carbon footprint. The EU-funded NEUROMETA project is interested in developing metamaterials with neuroactive behaviour. Researchers will exploit the inherent properties of natural plant fibres and spider silk strands to design and generate novel metamaterial architectures. The work will lead to metamaterials with adaptive behaviours that mimic artificial neural networks and are at the same time environmentally friendly to fabricate.
Objective
Metamaterials with anomalous and counter-intuitive multiphysics behaviours have been developed during the last two decades to help communication systems, sensing and robotics. Paradigmatic developments in artificial intelligence, Digital Twin approaches and additive manufacturing are pushing the design and production of metamaterials also towards the development artificial equivalent of synapsis and programmability. These advanced metamaterial concepts are however fossil-based and tend to make use of materials with a high carbon footprint and heavy life cycle costs in terms of emissions and environmental sustainability. Sensing/actuation mechanisms are also innate in natural plant fibres, spider silk strands and enzymatic systems, and involve saturation, hygromorphism, piezoelectricity and controlled hysteresis that could provide similar synaptic behaviours. Programmable memory properties could also be mechanically created in solid matter, and similar mnemonic-type architectures abound in natural fibres and related composites. While neurogenesis in electromagnetic metamaterials is at early stages of development, no neuroactive mechanical metamaterial concept and design based on biobased materials has been developed so far. The project aims at developing this paradigmatic new class of metamaterials. We will explore the use of natural fibre composites, bio-based matrices, spider silk strands, 3D printing of bioblock materials and natural piezoelectricity in wood/cellulose combined with metamaterial architectures to develop artificial bio-based and sustainable surrogates of programmable memory with learning/adaptive behaviours similar to artificial neural networks. These metamaterials will autonomously learn from their past loading history and generate resilience in the structures in which they are embedded. The natural materials will also have low carbon footprint and could be further developed by worldwide R&D communities based on the resources locally available.
Fields of science
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologymaterials engineeringcomposites
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpiezoelectrics
Programme(s)
Topic(s)
Funding Scheme
ERC-ADG - Advanced GrantHost institution
BS8 1QU Bristol
United Kingdom